AlgorithmicLearning – alle Bücher

Jakob Behnke
Automatische Optimierung von Audiosignalen für Transkription mit Evolutionären Algorithmen und Machine Learning

BestMasters

In diesem Buch wird die Empfindlichkeit des Automatic Speech Recognition-Werkzeugs Whisper auf Störgeräusche untersucht. Hierbei werden unterschiedliche Geräuschtypen in verschiedenen Lautstärken untersuc…

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Jens Gaulke
KI-Algorithmen mit Python

Die codegestützte Einführung ins Machine LearningIn Zeiten von Claude, Gemini, ChatGPT und Co. ist längst bekannt: KI ist nicht gleich KI. In diesem Buch lernen Sie die zentralen lernenden Algorithmen ken…

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Jeremiah D. Deng
Machine Learning with Julia

Machine Learning: Foundations, Methodologies, and Applications

This textbook offers a comprehensive and accessible introduction to machine learning with the Julia programming language. It bridges mathematical theory and real-world practice, guiding readers through bo…

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Chaohui Liu, Lingling Li
Machine Learning-Based Personalised Recommendation Algorithms and Their Applications

This book introduces innovative machine learning-based algorithms and a prototype system for personalised book recommendations, addressing key challenges such as inefficiency, data sparsity, cold-start is…

lieferbar ab 17.11.2026.

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Haiquan Zhao, Xinyan Hou, Xiaoqiang Long
Information Theoretic Learning-based Filter

This book provides a comprehensive and in-depth exploration of adaptive filtering algorithms based on the Information Theoretic Learning (ITL). As a powerful alternative to traditional second-order statis…

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Jens Gaulke
AI Algorithms with Python

What really happens when you call model.fit()? Open the black box of machine learning and find out for yourself by building classic AI algorithms using this practical guide! You'll implement k-nearest nei…

lieferbar ab 4.4.2027.

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Xiaojing Ye
Mathematical Foundations of Deep Learning

Offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning.

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Xiaojing Ye
Mathematical Foundations of Deep Learning

Mathematical Foundations of Deep Learning offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning. The book spans core theoretical topics, from the app…

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Suparna Biswas
Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection

Signals and Communication Technology

This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current…

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Ye Yue
Risk-Aware Rate of Penetration Prediction and Optimization based on Machine Learning Algorithm

This thesis presents a comprehensive data-driven framework for Rate of Penetration (ROP) prediction and optimization in drilling operations using machine learning. The approach addresses key challenges in…

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Xufeng Zhao, Qihui Wu, Hoang Pham
Machine Learning

This book is designed to provide a well-structured, comprehensive, and practical textbook on machine learning for undergraduate and graduate students in related fields. Through clear and accessible explan…

lieferbar ab 24.2.2027.

Buch

Debashish Das, Ali Safaa Sadiq, Seyedali Mirjalili
Optimization Algorithms in Machine Learning

Engineering Optimization: Methods and Applications

This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, g…

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Ke Chen
Mathematical Modeling and Essential Regularization for Imaging Applications

To deal with an increasingly large and sophisticated class of real life problems, image processing methods range from the traditional filtering and thresholding techniques to advanced variational models a…

lieferbar ab 31.12.2026.

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Ke Chen
Mathematical Modeling and Essential Regularization for Imaging Applications

To deal with an increasingly large and sophisticated class of real life problems, image processing methods range from the traditional filtering and thresholding techniques to advanced variational models a…

lieferbar ab 31.12.2026.

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Hang Wang, Sen Lin, Junshan Zhang
Continual and Reinforcement Learning for Edge AI

Synthesis Lectures on Learning, Networks, and Algorithms

This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance …

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Bikram Pratim Bhuyan, Amylia Ait Saadi, Yassine Meraihi, Amar Ramdane-Cherif
Scientific Machine Learning

This book highlights and addresses a crucial need in the emerging field of Scientific Machine Learning (SciML) by offering a comprehensive and accessible guide that blends theory, algorithms, and applicat…

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Mazin A. M. Al Janabi
Liquidity Dynamics and Risk Modeling

This book presents a high-quality contribution to the applications of modern financial algorithms for liquidity risk management and its practical uses and applications to investable portfolios and mutual …

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Democracy and AI & Game AI Algorithms and Multi-Agent Learning

Lecture Notes in Computer Science - Band 16400

This book constitutes the proceedings of the The 6th International Workshop on Democracy and AI, DemocrAI 2025, and the 2nd Workshop on Game AI Algorithms and Multi-Agent Learning, GAAMAL 2025, Held in Co…

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Jona Motta
Development of Machine Learning ¿ Trigger Algorithms and Search for Higgs Boson Pair Production

Springer Theses

This book reports the successful optimization of the Compact Mupn Solenoid (CMS) tau trigger algorithm for the Run-3 (Phase-1) of the Large Hadron Collider (LHC) and a completely new and original design o…

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